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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 351–360 of 1729 papers

TitleStatusHype
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector—0
GerPS-Compare: Comparing NER methods for legal norm analysis—0
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations—0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows—0
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts—0
RITA: Automatic Framework for Designing of Resilient IoT ApplicationsCode0
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements—0
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains—0
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